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researcher

O. L. López

3 papers hereh-index 110 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SY2
  • eess.SP1

identity via Semantic Scholar / OpenAlex

works on
deep reinforcement learning 1energy efficiency 1goal-oriented communication 1iot sensor scheduling 1non-linear dynamic systems 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

eess.SY2026

Goal-Oriented Sensor Reporting Scheduling for Non-linear Dynamic System Monitoring

Prasoon Raghuwanshi, Onel Luis Alcaraz López, I-Hong Hou +2

The paper proposes a goal‑oriented scheduling framework for IoT sensors monitoring a non‑linear dynamic system, using deep reinforcement learning and LSTM‑based query prediction to…

eess.SY2026

TinyML for On-Device and Edge Analytics in Wireless Networks: A Survey of Deployments, Opportunities, and Concept-Drift Mitigation

Prasoon Raghuwanshi, Vimal Bhatia, Sridhar Iyer +2

Ubiquitous intelligence is essential for enabling real-time, adaptive, autonomous, and scalable operations in the next generation of wireless networks. However, this poses signific…

eess.SP2026

EH-FedSAG: Variance-Reduced Federated Learning with Energy-Aware Participation in Energy-Harvesting IoT

Shahab Jahanbazi, Mateen Ashraf, Richard Demo Souza +1

Federated learning (FL) in energy-harvesting (EH) networks is challenged by intermittent and stochastic energy arrivals that lead to unstable device participation across training r…

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